Certain investigation on advanced control strategies for non linear process

Abstract

The technological development in the past 200 years has brought a revolutionary change in the industries and transformed the world in a significant developed structure In the recent years advancement in artificial intelligence is found to be increasing tremendously and its integration in engineering is also increased Today Artificial intelligence AI is highly involved in the development of intelligent systems for control monitor and maintenance of non linear electrical and chemical process In real world applications tough task of engineers in establishing an efficient control over these non linear systems are made simple by these artificial intelligent techniques Optimization of controllers using artificial intelligence reserves a significant position in the modern control schemes Currently the third generation evolutionary computational methods such as particle swarm optimization an algorithm that replicates the communal behavior of social animals and insects are found to be very effective in the optimization procedures The artificial bee colony a meta heuristic algorithm that functions similar to honey bees is used popularly because of its lesser control parameters and evaluation functions There is a continuous increase in demand and research activity for the development of new type of controller and control strategies for increasing efficiency minimization in usage of energy cost and time In this work the main aspiration is to put forward a new artificial bee colony based ANFIS optimized MRA PID controller ABC ANFIS MRA PID to investigate the performance of non linear process newline